Sunee Chayangsu

400 total citations
9 papers, 93 citations indexed

About

Sunee Chayangsu is a scholar working on Epidemiology, Molecular Medicine and Applied Microbiology and Biotechnology. According to data from OpenAlex, Sunee Chayangsu has authored 9 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Molecular Medicine and 3 papers in Applied Microbiology and Biotechnology. Recurrent topics in Sunee Chayangsu's work include Burkholderia infections and melioidosis (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Antibiotic Use and Resistance (3 papers). Sunee Chayangsu is often cited by papers focused on Burkholderia infections and melioidosis (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Antibiotic Use and Resistance (3 papers). Sunee Chayangsu collaborates with scholars based in Thailand, United Kingdom and United States. Sunee Chayangsu's co-authors include Taylor D. Coston, Peechanika Chopjitt, Pinyo Rattanaumpawan, Thatcha Yimthin, Pornpan Koomanachai, Dan Takeuchi, Yukihiro Akeda, Shigeyuki Hamada, Narisara Chantratita and Rujirat Hatrongjit and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Antibiotics.

In The Last Decade

Sunee Chayangsu

8 papers receiving 91 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sunee Chayangsu Thailand 5 48 37 15 14 13 9 93
Rama Narayana Deepak Singapore 5 33 0.7× 27 0.7× 21 1.4× 6 0.4× 7 0.5× 9 67
Ornuma Sangwichian Thailand 9 77 1.6× 63 1.7× 27 1.8× 24 1.7× 5 0.4× 10 170
Xinqian Ma China 8 45 0.9× 53 1.4× 9 0.6× 6 0.4× 6 0.5× 19 167
Parichart Hongsing Thailand 8 26 0.5× 73 2.0× 16 1.1× 10 0.7× 18 1.4× 19 174
M. Colomb-Cotinat France 6 29 0.6× 60 1.6× 13 0.9× 16 1.1× 9 0.7× 16 134
Ariane Dinkelacker Netherlands 5 24 0.5× 71 1.9× 21 1.4× 22 1.6× 22 1.7× 5 191
Saharai Caldera United States 8 71 1.5× 45 1.2× 19 1.3× 7 0.5× 11 0.8× 16 173
Denise van Hout Netherlands 8 32 0.7× 73 2.0× 23 1.5× 11 0.8× 4 0.3× 9 147
Hiroaki Baba Japan 7 17 0.4× 29 0.8× 15 1.0× 12 0.9× 14 1.1× 27 133
Asokan Govindaraj Vaithinathan Bahrain 3 13 0.3× 34 0.9× 6 0.4× 13 0.9× 9 0.7× 3 116

Countries citing papers authored by Sunee Chayangsu

Since Specialization
Citations

This map shows the geographic impact of Sunee Chayangsu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sunee Chayangsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunee Chayangsu more than expected).

Fields of papers citing papers by Sunee Chayangsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunee Chayangsu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sunee Chayangsu. The network helps show where Sunee Chayangsu may publish in the future.

Co-authorship network of co-authors of Sunee Chayangsu

This figure shows the co-authorship network connecting the top 25 collaborators of Sunee Chayangsu. A scholar is included among the top collaborators of Sunee Chayangsu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sunee Chayangsu. Sunee Chayangsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Chayangsu, Sunee, Chusana Suankratay, Apichat Tantraworasin, & Jiraporn Khorana. (2024). The Predictive Factors Associated with In-Hospital Mortality of Melioidosis: A Cohort Study. Medicina. 60(4). 654–654. 1 indexed citations
2.
Chayangsu, Sunee, Chusana Suankratay, Apichat Tantraworasin, & Jiraporn Khorana. (2024). Clinical Prediction Rules for In-Hospital Mortality Outcome in Melioidosis Patients. Tropical Medicine and Infectious Disease. 9(7). 146–146.
3.
Coston, Taylor D., Shelton W. Wright, Ekkachai Thiansukhon, et al.. (2023). Statin Use and Reduced Risk of Pneumonia in Patients with Melioidosis: A Lung-Specific Statin Association. Annals of the American Thoracic Society. 21(2). 228–234. 3 indexed citations
4.
Chayangsu, Sunee, et al.. (2022). Impact of Antibiotic Authorisation at Three Provincial Hospitals in Thailand: Results from a Quasi-Experimental Study. Antibiotics. 11(3). 354–354. 3 indexed citations
5.
Sirijatuphat, Rujipas, Sunee Chayangsu, Visanu Thamlikitkul, et al.. (2022). Feasibility, Challenges, and Benefits of Global Antimicrobial Resistance Surveillance System Implementation: Results from a Multicenter Quasi-Experimental Study. Antibiotics. 11(3). 348–348. 6 indexed citations
6.
Chantratita, Narisara, Thatcha Yimthin, Taylor D. Coston, et al.. (2022). Characteristics and one year outcomes of melioidosis patients in Northeastern Thailand: a prospective, multicenter cohort study. SHILAP Revista de lepidopterología. 9. 100118–100118. 40 indexed citations
8.
Luk-in, Sirirat, Tanittha Chatsuwan, Dhammika Leshan Wannigama, et al.. (2021). Occurrence of mcr-mediated colistin resistance in Salmonella clinical isolates in Thailand. Scientific Reports. 11(1). 14170–14170. 21 indexed citations
9.
Kerdsin, Anusak, Sunee Chayangsu, Rujirat Hatrongjit, et al.. (2019). Genomic characterization of an emerging blaKPC-2 carrying Enterobacteriaceae clinical isolates in Thailand. Scientific Reports. 9(1). 18521–18521. 15 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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